| Nome |
# |
|
A Report on Using Simplified Function Point Measurement Processes, file e2188be6-01e7-4564-e053-6605fe0a49d6
|
424
|
|
Towards a simplified definition of Function Points, file e2188be6-02ff-4564-e053-6605fe0a49d6
|
361
|
|
ICSEA 2021: the sixteenth international conference on software engineering advances, file cf1d42ff-5e8e-469e-ba05-43a041ea99d2
|
306
|
|
Business goals, user needs, and requirements: A problem frame-based view, file e2188be6-0300-4564-e053-6605fe0a49d6
|
301
|
|
Using Functional Complexity Measures in Software Development Effort Estimation, file e2188be6-023f-4564-e053-6605fe0a49d6
|
296
|
|
Measuring the Functional Size of Real-Time and Embedded Software: a Comparison of Function Point Analysis and COSMIC, file e2188be6-043f-4564-e053-6605fe0a49d6
|
245
|
|
ICSEA 2022: the seventeenth international conference on software engineering advances, file 4c8dc467-5f77-4046-9ace-5b456c395a7d
|
187
|
|
An empirical evaluation of the “cognitive complexity” measure as a predictor of code understandability, file 4a24e52a-0660-4dff-8242-85d707ba400f
|
160
|
|
SOFTENG 2023: the ninth international conference on advances and trends in software engineering, file d7339086-51b1-4f5b-8b50-3bf83ff7318d
|
160
|
|
An Empirical Evaluation of Simplified Function Point Measurement Processes, file e2188be6-02fe-4564-e053-6605fe0a49d6
|
101
|
|
Using Function Point Analysis and COSMIC for Measuring the Functional Size of Real-Time and Embedded Software: a Comparison, file e2188be6-046b-4564-e053-6605fe0a49d6
|
48
|
|
An Empirical Evaluation of Effort Prediction Models Based on Functional Size Measures, file e2188be6-01e8-4564-e053-6605fe0a49d6
|
38
|
|
On the Ability of Functional Size Measurement Methods to Size Complex Software Applications, file e2188be6-03cc-4564-e053-6605fe0a49d6
|
36
|
|
A Meta-model for Problem Frames: Conceptual Issues and Tool Building Support, file e2188be5-fd33-4564-e053-6605fe0a49d6
|
35
|
|
Using Static Analysis and Static Measurement for Industrial Software Quality Evaluation, file 12949743-3a00-4782-a2f5-50ff244b2116
|
33
|
|
An Extended Study of the Correlation of Cognitive Complexity-related Code Measures, file dd69f791-eef7-45e3-95fd-ea1afcdad950
|
33
|
|
Estimating functional size of software with confidence intervals, file 2dede574-ef76-4e3a-b74b-0f2ab32875dc
|
32
|
|
Common problems with the usage of F-measure and accuracy metrics in medical research, file bc33c870-bc83-4ace-9172-01923a22f60e
|
21
|
|
Using locally weighted regression to estimate the functional size of software: a preliminary study, file 70e112e9-32e7-4c1d-be4b-230e024ad145
|
20
|
|
Using Locally Weighted Regression to Estimate the Functional Size of Software: an Empirical Study, file 9f61fa11-1fd6-41ac-9c49-c8fa48bb2f93
|
20
|
|
A Large-scale Empirical Evaluation of Function Points Estimation Methods, file e2188be7-f125-4564-e053-6605fe0a49d6
|
17
|
|
A Dual Language Approach to the Development of Time-Critical Systems, file e2188be8-3222-4564-e053-6605fe0a49d6
|
15
|
|
Comparing φ and the F-measure as Performance Metrics for Software-related Classifications, file 98d76c3a-e42b-403d-9382-c46b6b9200c9
|
14
|
|
Combining control and data integration in the SPADE-1 process-centered software engineering environment, file de9030c6-dd58-4949-904f-00cef36041a7
|
10
|
|
Open source software evaluation, selection, and sdoption: a systematic literature review, file e2188be7-73cf-4564-e053-6605fe0a49d6
|
8
|
|
Software development effort estimation using function points and simpler functional measures: a comparison, file 0b992079-444b-406a-816f-ee6b57cfcc80
|
6
|
|
Historical data repositories in software engineering: Status and possible improvements, file e2188be8-282f-4564-e053-6605fe0a49d6
|
6
|
|
Fine grained process modelling: an experiment at British Airways, file 204421a6-7c4a-413d-8d7e-20fe6bd0dd77
|
4
|
|
On the reliability of the area under the ROC curve in empirical software engineering, file b008e062-96fc-4e42-bda9-2afde7cf4bde
|
4
|
|
The Thirteenth International Conference on Software Engineering Advances, file e2188be7-5141-4564-e053-6605fe0a49d6
|
4
|
|
An empirical study of the correlation of cognitive complexity-related code measures, file e2188be7-f453-4564-e053-6605fe0a49d6
|
4
|
|
Adding confidence intervals to the NESMA Functional Size Estimation Method, file 96a66946-d1f2-4a2b-b34b-b87024c870dd
|
3
|
|
An empirical study on software understandability and its dependence on code characteristics, file b7ff6cde-3a3f-47be-b901-c8d3d4bca728
|
3
|
|
Bridging the Gap between Requirements and Design: an Approach Based on Problem Frames and SysML, file e2188be5-feed-4564-e053-6605fe0a49d6
|
3
|
|
A Method to Optimize Technical Debt Management in Timed-boxed Processes, file e2188be7-1157-4564-e053-6605fe0a49d6
|
3
|
|
Optimized Technical Debt Management in Timed-boxed Development Processes, file e2188be7-36b7-4564-e053-6605fe0a49d6
|
3
|
|
On the assessment of software defect prediction models via ROC curves, file e2188be7-7196-4564-e053-6605fe0a49d6
|
3
|
|
The QualiPSo approach to OSS product quality evaluation, file 4b2acdd5-c4ba-43f5-abac-2baac83ed37e
|
2
|
|
Estimating software functional size via machine learning, file be221533-395e-4205-8c40-cb77ab882dfb
|
2
|
|
A Study on the Difficulty of Accounting for Data Elaboration in Functional Size Measures, file e2188be6-2f71-4564-e053-6605fe0a49d6
|
2
|
|
A study on the statistical convertibility of IFPUG Function Point, COSMIC Function Point and Simple Function Point, file e2188be6-c5a5-4564-e053-6605fe0a49d6
|
2
|
|
An experience in the evaluation of fault prediction, file 0480c489-ee4d-479f-894a-6e92c58ab19d
|
1
|
|
A survey on open source software trustworthiness, file e2188be5-fd62-4564-e053-6605fe0a49d6
|
1
|
|
Enriching Specifications to Represent Quality in Web Services in a Comprehensive Way, file e2188be6-1505-4564-e053-6605fe0a49d6
|
1
|
|
Defining and Evaluating Software Project Success Indicators: a GQM-based Approach, file e2188be6-2973-4564-e053-6605fe0a49d6
|
1
|
|
An Empirical Investigation of Perceived Reliability of Open Source Java programs, file e2188be6-494a-4564-e053-6605fe0a49d6
|
1
|
|
Automated Function Points: Critical Evaluation and Discussion, file e2188be6-49d8-4564-e053-6605fe0a49d6
|
1
|
|
Identifying Thresholds for Software Faultiness via Optimistic and Pessimistic Estimations, file e2188be6-86d9-4564-e053-6605fe0a49d6
|
1
|
|
Risk-averse slope-based thresholds: Definition and empirical evaluation, file e2188be6-cde5-4564-e053-6605fe0a49d6
|
1
|
|
IFPUG Function Points to COSMIC Function Points convertibility: A fine-grained statistical approach, file e2188be7-1b04-4564-e053-6605fe0a49d6
|
1
|
|
An Empirical Evaluation of the Accuracy of NESMA Function Points Estimates, file e2188be7-45ef-4564-e053-6605fe0a49d6
|
1
|
|
Software Quality Evaluation via Static Analysis and Static Measurement: an Industrial Experience, file e2188be7-85e3-4564-e053-6605fe0a49d6
|
1
|
|
Considerations on the region of interest in the ROC space, file e2188be8-0aee-4564-e053-6605fe0a49d6
|
1
|
| Totale |
2.987 |